National Repository of Grey Literature 42 records found  beginprevious25 - 34next  jump to record: Search took 0.00 seconds. 
Programs and Algorithms of Numerical Mathematics 15
Vejchodský, Tomáš ; Chleboun, J. ; Přikryl, Petr ; Segeth, Karel ; Šístek, Jakub
The book contains papers presented at the international seminar Programs and algorithms of numerical Mathematics 15 (PANM 15), held in Dolni Maxov, Czech Republic, June 6-11, 2010. It is the fifteen volume in the series of the PANM proceedings. The topics of contributions include numerical methods for fluid flow modelling, the finite element method, a posteriori error estimates, topics from numerical linear atgebra, etc.
Programy a algoritmy numerické matematiky 14
Chleboun, Jan ; Přikryl, Petr ; Segeth, Karel ; Vejchodský, Tomáš
The book contains papers presented at the international seminar Programs and algorithms of numerical Mathematics 14 (PANM 14), held in Dolni Maxov, Czech Republic, June 1-6, 2008. It is the fourteenth volume in the series of the PANM proceedings. The topics of contributions include numerical methods for fluid flow modelling, the finite element method, a posteriori error estimates, topics from numerical linear atgebra, etc.
Programy a algoritmy numerické matematiky 13
Chleboun, Jan ; Segeth, Karel ; Vejchodský, Tomáš
The book contains papers presented at the international conference Programs and Algorithms of Numerical Mathematics 13(PANM 13) held in Prague, Czech Republic, May 28-31, 2006, in honor of Ivo Babuska´s 80th birthday. It is the thirteenth volume in the series of the PANM proceedings. The topics of contributions include numerical methods for fluid flow modelling, the finite element method, a posteriori error estimates, topics from numerical linear algebra, etc.
Sandia workshop: úloha z mechaniky konstrukcí
Chleboun, Jan
A frame with uncertain material data is considered. The Young modulus is represented through a random field whose characteristics are not known. The frame response to a given lood is to be assessed on the basis of a limited number of measurements of local and effective Young modulus values. The contribution presents an approach based on probability, fuzzy set, and the worst scenario tools.
K Sandia problému mechaniky konstrukcí
Chleboun, Jan
A structural mechanics problem with uncertain modulus of elasticity is considered. A displacement in a loaded frame is to be predicted on the basis of a limited number of measurements of the modulus. This contribution estimates the displacement under the assumption of uniformly distributed random variables related to the measured values.
Algoritmus založený na hladké optimalizaci a jeho použití při řešení nehladkého optimalizačního problému, jenž vzniká při maximalizaci kriteriálního funkcionálu s fuzzy vstupními daty
Chleboun, Jan
In maximum range problems, the input parameters of an analyzed model are uncertain and the range of the model output values is searched for. If the input values form a fuzzy set with a known membership function, then the goal is to determine the membership function of the output values, that is, to determine the fuzziness of the quantity of interest. A recently proposed integration-based input membership function and the common .alpha.- cut technique are used to achieve this goal. Although this approach can lead to a nonsmooth optimization problem, it is shown that the nonsmooth problem can be decomposed into a sequence of smooth subproblems and solved by standard smooth optimization routines.
Ke kumulativním dechovým testům s uhlíkem 13C: snaha zvýšit přesnost výsledků testu odhalila významnou nejistotu ve vstupních údajích
Chleboun, Jan ; Kocna, P.
In cumulative 13C breath tests, the estimation of CO2 production rate is a key issue. Two different estimates are compared. It is investigated why these estimates deliver rather different values.
Coupling the Worst Scenario Method with Fuzzy Input Data
Chleboun, Jan
Inputs entering a mathematical model are considered uncertain, i.e., they are not given in a crisp form but only within a set of admissible data. The solution to the model is evaluated through a functional (criterion) reflecting a particular feature of the solution, e.g., local temperature, velocity, stress. The higher value, the "worse" solution. The goal of the worst scenario method...

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See also: similar author names
5 CHLEBOUN, Jiří
5 Chleboun, Jakub
22 Chleboun, Jan
5 Chleboun, Jiří
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